Reading between the turns: statistical modeling for identity recognition and verification in chats

Roffo, G. , Segalin, C., Vinciarelli, A. , Murino, V. and Cristani, M. (2013) Reading between the turns: statistical modeling for identity recognition and verification in chats. In: 10th IEEE International Conference on Advanced Video and Signal Based Surveillance, Krakow, Poland, 27-30 Aug 2013, pp. 99-104. ISBN 9781479907038 (doi: 10.1109/AVSS.2013.6636623)

100496.pdf - Accepted Version


Publisher's URL:


Identity safekeeping has recently become an important problem for the social web: as a case study, we focus here on instant messaging platforms, proposing novel soft-biometric cues for user recognition and verification. Specifically, we design a set of features encoding effectively how a person converses: since chats are crossbreeds of written text and face-to-face verbal communication, the features inherit equally from textual authorship attribution and conversational analysis of speech. Importantly, our cues ignore completely the semantics of the chat, relying solely on non-verbal aspects, taking care of possible privacy and ethical issues. We apply our approach on a novel dataset of 94 different individuals, whose chat conversations have been recorded for an average period of five months; recognition rate, intended as normalized AUC on CMC curve, is 95.73%, while verification rate amounts to 95.66%, as normalized AUC on ROC curve.

Item Type:Conference Proceedings
Glasgow Author(s) Enlighten ID:Roffo, Dr Giorgio and Vinciarelli, Professor Alessandro
Authors: Roffo, G., Segalin, C., Vinciarelli, A., Murino, V., and Cristani, M.
College/School:College of Science and Engineering > School of Computing Science
Copyright Holders:Copyright © 2013 IEEE
Publisher Policy:Reproduced with the permission of the authors
Related URLs:

University Staff: Request a correction | Enlighten Editors: Update this record